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Welcome to a more advanced study of data structures and algorithms for information (and data) processing and management. The design and implementation of data structures and algorithms can be considered both an art and a science. One of the primary goals of this course is to develop the critical thinking skills needed to design sophisticated and robust software for the creation and management of on-line document collections. This course is conducted according to departmental policy which is observed by all professors and graduate teaching assistants who participate in it. Please note that under no circumstances will cheating be tolerated. | |||||||||
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Deadlines |
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There will be no make-up exams throughout the semester. All homework assignments are due on the specified dates (posted on this page and announced in class). Late homework will not be accepted - no exceptions. |
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Attendance |
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Attendance at lectures is mandatory in order to succeed in this class. There is no specified laboratory period for this course so students will be expected to use either the CS Department Cetus or Hydra Labs (or perhaps other UTK facilities) when they are available. Friday's (unless otherwise announced) will be reserved for TA Office Hours, 594/494 Group Meetings, and Project Presentations in Claxton Room 206 (our regular classroom). Lectures will be given on Monday's and Wednesday's. |
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Grading |
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Points are awarded throughout the term for performance on selected homework problems (20%), the midterm (25%), the course project (30%), and the final exam (25%). Percentages denote portion of final grade attributed to each item. |
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Assigned Homework |
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